Some exit times estimates for Super-Brownian motion and Fleming-Viot Process
Parisa Fatheddin
Abstract:Estimates for exit time from an interval of length 2r before a prescribed time T are derived for solutions of a class of stochastic partial differential equations used to characterize two population models: super-Brownian motion and Fleming-Viot Process. These types of estimates are then derived for the two population models. The corresponding large deviation results are also applied for the acquired bounds.
“…for a fixed δ > 0 and for all ǫ ∈ (0, ǫ 1 ) for some ǫ 1 > 0. This together with the strong Markov property of u ǫ (t) can be used to apply an inductive argument given in [16] to arrive at,…”
Large deviation principle by the weak convergence approach is established for the stochastic nonlinear Schrödinger equation in one-dimension and as an application the exit problem is investigated.
“…for a fixed δ > 0 and for all ǫ ∈ (0, ǫ 1 ) for some ǫ 1 > 0. This together with the strong Markov property of u ǫ (t) can be used to apply an inductive argument given in [16] to arrive at,…”
Large deviation principle by the weak convergence approach is established for the stochastic nonlinear Schrödinger equation in one-dimension and as an application the exit problem is investigated.
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